Heat transfer and fluid flow analysis of pebble bed and its verification with artificial neural network

The advancement of sophisticated packed beds has significant implications for the development of new equipment for associated industries. Determining the heat transfer and fluid flow properties of the functional material in the form of a pebble bed is crucial during the design phase of a solid-type ceramic breeding blanket in a fusion reactor. In order to efficiently construct and operate the breeder blanket, the goal of this study is to explore the features of heat transmission and fluid flow. Initially, the heat transfer and fluid flow analyses were carried out independently to benchmark the results using models and experiments using a stainless steel pebble bed with a diameter of 2 mm. Following that, a combined simulation analysis of heat transfer and fluid flow was carried out to demonstrate the system's effective operation for Li2TiO3. A model of an artificial neural network (ANN) has also been employed to forecast the results. The results of simulations are within 5% of the expected values made using ANN.

Automated summary

The advancement of sophisticated packed beds has significant implications for associated industries, and determining the heat transfer and fluid flow properties of functional materials is crucial for the design of solid-type ceramic breeding blankets in fusion reactors. This study explores the features of heat transmission and fluid flow and combines simulation analysis with an artificial neural network model to forecast the results. The simulations are within 5% of the expected values.